Affiliation
University of California, Santa BarbaraIssue Date
2021-10
Metadata
Show full item recordCitation
Cooper, G., Manjunath, B., & Isukapalli, Y. (2021). Edge Machine Learning for Face Detection. International Telemetering Conference Proceedings, 56.Additional Links
http://www.telemetry.org/Abstract
This paper describes an implementation of edge machine learning for vision-based classification and detection tasks. In edge machine learning, machine and deep learning algorithms are executed locally on embedded devices rather than on more powerful computers or the cloud. The main task explored is face detection using a low-power microcontroller. This device utilizes a convolutional neural network (CNN) accelerator that optimizes convolution and pooling operations for fast power-efficient inference. Development for this system requires building and training a hardwarelimited CNN rather than fine-tuning a pre-trained state-of-the-art model. The development process is discussed along with the constraints of this embedded device.Type
Proceedingstext
Language
enISSN
1546-21880884-5123
0074-9079